Determining the road traffic accident hotspots using GIS-based temporal-spatial statistical analytic techniques in Hanoi, Vietnam-Reference-Cited by-同舟云学术

Determining the road traffic accident hotspots using GIS-based temporal-spatial statistical analytic techniques in Hanoi, Vietnam

Published:2019-12-02 Issue:2 Volume:23 Page:153-164
ISSN:1009-5020
Container-title:Geo-spatial Information Science
language:en
Short-container-title:Geo-spatial Information Science

Author:

Le Khanh Giang¹²^ORCID,Liu Pei¹,Lin Liang-Tay¹

Affiliation:

1. College of Construction and Development, Feng Chia University, Taichung, Taiwan, China

2. Faculty of Civil Engineering, University of Transport and Communications, Hanoi, Vietnam

Publisher

Informa UK Limited

Subject

Computers in Earth Sciences,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10095020.2019.1683437

Reference34 articles.

1. Kernel density estimation and K-means clustering to profile road accident hotspots

2. Anh, H. 2016. “Catastrophic Train Accidents Caused Many People to Shudder When Leaving the Road.” Accessed 20 June 2019. https://eva.vn/tin-tuc/nhung-vu-tai-nan-tau−hoa-tham-khoc-khien-nhieu-nguoi-rung-minh-khi-ra-duong-c73a291590.html

3. Approaches for scaling DBSCAN algorithm to large spatial databases

4. Visualising space and time in crime patterns: A comparison of methods

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